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Design a contingency table that will hold your data. What are your degrees of freedom and critical value at a 0.05 confidence level? You do not need data to answer this. These are based off of the number of rows and columns in your table.
Below is the original question I need to use to create the contigency table.
A study regarding the relationship between age and the amount of pressure sales personnel feel in relation to their jobs was carried out. At the .01 significance level, is there a relationship between job pressure and age?
Chi square test for goodness of fit (between the age and job pressure)
Ho: There is no relationship between job pressure and age
Ha: There is a significant relationship between job pressure and age.
Then test to see whether it considerably varies from 0 [use alpha = 5%]. Don't forget to identify the null and alternative hypotheses.
What sample size should be chosen so that there is 0.95 probability of estimating the mean monthly income in $150 or less?
Carry out test of independence to find out whether employee health insurance coverage is independent of size of company. Use α = 0.05 level of significance.
The probability of getting a promotion and a raise is 0.25. What is the probability of getting a raise.
Translate this into a statistical hypothesis-testing problem and carry out the test. Be sure to give the null and alternative hypotheses, the value of the test statistic, the p-value, and your conclusions.
Using symbols mention null hypothesis and alternative hypothesis.
Testing equality of two means - difference in performance of the two gasolines and difference in gasoline mileage output
A certain random experiment can result in one of four different possible outcomes, which we'll call A, B, C and D.
The level of significance is quantitatively defined as ? and the statistical power of a test is quantitatively defined as 1-?
If possible, determine a 95% confidence interval for average number of television sets in all 50,000 households. If this is not possible, describe why not.
At a large department store, the amount a shopper spent and the shopper's gender (male or female) were recorded. To determine if gender is useful in explaining the amount of money a shopper spends at the store we could
Using one proportion z test to find whether or not to support the claim - There is little evidence to reject H 0 , therefore they conclude the tvs are 20 pounds on average.
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